from difflib import get_close_matches
import pyttsx3
import json
import speech_recognition as sr

data = json.load(open('data.json'))
engine = pyttsx3.init()
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[0].id)


def speak(audio):
    engine.say(audio)
    engine.runAndWait()


def takeCommand():
    r = sr.Recognizer()
    with sr.Microphone() as source:
        print('Listening...')
        r.pause_threshold = 1
        r.energy_threshold = 494
        r.adjust_for_ambient_noise(source, duration=1.5)
        audio = r.listen(source)

    try:
        print('Recognizing..')
        query = r.recognize_google(audio, language='en-in')
        print(f'User said: {query}\n')

    except Exception as e:
        # print(e)

        print('Say that again please...')
        return 'None'
    return query


def translate(word):
    word = word.lower()
    if word in data:
        speak('Here is what I found in dictionary..')
        d = data[word]
        d = ''.join(str(e) for e in d)
        speak(d)
    elif len(get_close_matches(word, data.keys())) > 0:
        x = get_close_matches(word, data.keys())[0]
        speak('Did you mean ' + x +
              ' instead,  respond with Yes or No.')
        ans = takeCommand().lower()
        if 'yes' in ans:
            speak('ok ' + 'It means..' + data[x])
        elif 'no' in ans:
            speak("Word doesn't exist. Please make sure you spelled it correctly.")
        else:
            speak("We didn't understand your entry.")

    else:
        speak("Word doesn't exist. Please double check it.")


if __name__ == '__main__':
    translate()
